groxaxo/Qwen3-14B-8K-Reasoning-v2-interim

🤗 Hugging Face sourcetext-generationapache-2.014B activated11 MBsafetensors✓ 1 checksumupdated today
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Overview

Qwen3-14B-8K-Reasoning-v2-interim is a model checkpoint packaged for compatible Hugging Face runtimes, published by groxaxo. It is intended for open-source evaluation, reproducible experimentation, and compatible local or hosted inference workflows. The wording below is deliberately limited to what can be verified from this repository's metadata and artifacts.

At a glance

Field Details
Format Transformers
Source / base unsloth/qwen3-14b-unsloth-bnb-4bit
Intended task text-generation
License apache-2.0

What is included

  • config.json
  • generation_config.json
  • tokenizer.json
  • tokenizer_config.json
  • chat_template.jinja
  • Additional configuration, tokenizer, processor, or shard files (6 visible artifacts total)

Quick start

Getting started

Start with the upstream library named in the repository metadata and keep all configuration, tokenizer, processor, and weight files together. This repository is an artifact release, so the source project remains the authoritative reference for task-specific loading code.

Compatibility and responsible use

  • Use a runtime that explicitly supports this format, architecture, and modality.
  • Keep configuration, tokenizer, processor, projection, and weight files from the same revision together.
  • Review the source model card and license before redistribution or deployment.
  • Hardware needs depend on parameter count, context length, cache precision, quantization, and concurrency.
  • Report reproducible issues with the runtime version, hardware, launch command, and a minimal example.

Generated outputs may be inaccurate or unsuitable for a given use case. Users are responsible for testing behavior, applying appropriate safeguards, and complying with applicable licenses and laws.

  • Developed by: groxaxo
  • License: apache-2.0
  • Finetuned from model : unsloth/qwen3-14b-unsloth-bnb-4bit

This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.